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Plant Secondary Metabolites Analysis Service

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What are Plant Secondary Metabolites?

Plant secondary metabolites are organic compounds that, unlike primary metabolites, are not directly involved in essential life processes such as growth and reproduction. These compounds play significant physiological roles, helping plants adapt to their environments. Although their functions can vary widely among species, secondary metabolites often contribute to plant defense mechanisms against pests and pathogens, protect against UV radiation and environmental stress, and facilitate interactions with other organisms through attractive scents or pigments.

The biosynthesis of secondary metabolites typically begins with a limited set of precursors, including intermediates like acetyl coenzyme A, shikimic acid, and mevalonic acid. These compounds undergo complex transformations, leading to a diverse array of metabolites. For example, alkaloids, terpenoids, and flavonoids are produced via various metabolic pathways, and many of these substances have pharmacological properties beneficial to humans, such as salicin from willow, which inspired the development of aspirin, and taxol from the Pacific yew, used in cancer treatment.

While secondary metabolites may appear to lack direct roles in plant physiology, their protective functions are crucial for survival. For instance, many secondary metabolites act as deterrents to herbivores and pathogens, increasing in concentration when a plant is under attack. Furthermore, some metabolites serve as signaling molecules, enhancing plant resilience. Understanding these compounds not only sheds light on plant biology but also has significant implications for agriculture, pharmacology, and human nutrition, making them vital to both ecological systems and human applications.

Plant Secondary Metabolites Analysis Offered by Creative Proteomics

Plant Metabolomic Profiling

Our Metabolomic Profiling service provides a holistic view of the metabolite composition in plant samples. This analysis identifies and quantifies a wide range of secondary metabolites, allowing for exploration of metabolic pathways and variations among different species or growth conditions. Utilizing advanced analytical techniques like LC-MS and GC-MS, we detect both known and novel metabolites.

Quantitative Analysis of Secondary Metabolites

Accurate quantification of specific Secondary Metabolites is essential for research and product development. Our Quantitative Analysis services employ robust methodologies to measure metabolite concentrations in various plant tissues. This is particularly useful for studies focused on plant health, nutritional content, and the impact of environmental factors on metabolite production.

Characterization of Secondary Metabolites

Characterization Studies of secondary metabolites involve detailed structural analysis and identification of chemical properties. This service helps elucidate the biosynthetic pathways and functional roles of metabolites. By employing techniques such as NMR spectroscopy and mass spectrometry, we provide in-depth information on the structure, activity, and potential applications of secondary metabolites.

Comparative Metabolomics of Plant Species

Our Comparative Metabolomics service allows researchers to compare metabolite profiles across different plant species, growth conditions, or developmental stages. By identifying variations in metabolite production, we assist in understanding the adaptive strategies of plants and their evolutionary significance. This approach is invaluable for breeding programs, conservation efforts, and exploration of biodiversity.

Custom Analysis Projects for Secondary Metabolites

Recognizing the unique needs of our clients, Creative Proteomics also offers Custom Analysis Projects focused on secondary metabolites. Whether you require specific metabolites to be studied or unique methodologies to be employed, our team of experts will work closely with you to design a project that aligns with your research goals.

List of Detected Plant Secondary Metabolites

Compound ClassExample Compounds
Alkaloids Caffeine, Morphine, Quinine, Nicotine, Berberine, Theobromine, Codeine…
FlavonoidsQuercetin, Kaempferol, Anthocyanins, Rutin, Hesperidin, Apigenin, Genistein…
TerpenoidsLimonene, Menthol, Taxol, β-Carotene, Gingerol, Carotenoids, Squalene…
Phenolic Compounds Gallic Acid, Resveratrol, Tannins, Chlorogenic Acid, Curcumin, Cinnamic Acid…
Glycosides Salicin, Amygdalin, Saponins, Flavonoid Glycosides, Rhamnosides, Iridoids…
Saponins Ginsenosides, Glycyrrhizin, Diosgenin, Oleanolic Acid, Heinsenoside…
Coumarins Umbelliferone, Scopoletin, Bergapten, Cichoric Acid, Coumarin…
Lignans Secoisolariciresinol, Matairesinol, Lariciresinol, Pinoresinol, Honokiol…
Essential Oils Eucalyptol, Thymol, Carvacrol, Linalool, Menthone, Pinene…
Cardiac Glycosides Digoxin, Ouabain, Thevetin, Convallatoxin, Strophanthidin…
Brassinoids Brassinolide, Castasterone, 24-Epibrassinolide…
Stilbenes Resveratrol, Pterostilbene, Viniferin…
Fatty Acid DerivativesJasmonic Acid, Oleic Acid, Linoleic Acid…
Metabolomics Services

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Metabolomics Services

We provide unbiased non-targeted metabolomics and precise targeted metabolomics services to unravel the secrets of biological processes.

Our untargeted approach identifies and screens for differential metabolites, which are confirmed by standard methods. Follow-up targeted metabolomics studies validate important findings and support biomarker development.

Download our brochure to learn more about our solutions.

Technology Platforms for Plant Secondary Metabolites Assay

Liquid Chromatography-Mass Spectrometry (LC-MS): LC-MS is a key technology for the separation, identification, and quantification of plant secondary metabolites. By combining high-performance liquid chromatography with mass spectrometry, this platform provides detailed insights into compound structures and molecular weights. We utilize instruments such as the Agilent 6460 Triple Quad and Thermo Scientific Q Exactive, known for their high sensitivity and resolution, which are essential for detecting low-abundance metabolites.

Gas Chromatography-Mass Spectrometry (GC-MS): GC-MS is ideal for analyzing volatile compounds and less polar secondary metabolites. This technology separates compounds in the gas phase and identifies them based on their mass-to-charge ratios. Our facility employs the Agilent 5977B GC/MSD and Thermo Scientific ISQ QD, both offering exceptional sensitivity and specificity for essential oils and terpene analysis.

Ultra-High-Performance Liquid Chromatography (UHPLC): UHPLC enhances resolution and reduces analysis time compared to traditional HPLC, making it particularly effective for separating a diverse range of metabolites in complex samples. We utilize systems such as the Waters ACQUITY UPLC H-Class and Thermo Scientific Dionex UltiMate 3000 for high throughput and precision in metabolite profiling.

High-Resolution Mass Spectrometry (HRMS): HRMS provides accurate mass measurements and high sensitivity, making it critical for detecting and characterizing secondary metabolites. Our lab employs the Thermo Scientific Orbitrap Fusion and Bruker timsTOF Pro, which deliver comprehensive data on metabolite composition, including unknown compounds.

Sample Requirements for Plant Secondary Metabolites Analysis

Sample TypeRecommended VolumePreservation MethodStorage Conditions
Fresh Plant Tissue5-10 gSnap freeze in liquid nitrogen-80°C
Dried Plant Material5 gStore in a desiccatorRoom temperature
Aqueous Extracts1-2 mLRefrigerate immediately4°C
Plant Juices1-2 mLRefrigerate4°C
Root Samples5-10 gRinse with distilled water, then freeze-80°C
Leaf Samples5-10 gSnap freeze or dry quickly-80°C or room temperature
Fruit Samples5-10 gRefrigerate or freeze immediately4°C or -80°C
Seeds5 gDry in a desiccatorRoom temperature
Plant Cell Cultures1-5 mLMaintain in growth medium4°C or room temperature
Tissue Culture Samples1-2 gStore in growth medium4°C
Principal Component Analysis (PCA) chart showing the distribution of samples across principal components

PCA chart

Partial Least Squares Discriminant Analysis (PLS-DA) point cloud diagram illustrating the separation of sample groups in a multidimensional space

PLS-DA point cloud diagram

Volcano plot depicting multiplicative changes in metabolite levels, highlighting statistically significant variations

Plot of multiplicative change volcanoes

Box plot showing the variation in metabolite levels across different sample groups, indicating median, quartiles, and outliers

Metabolite variation box plot

Pearson correlation heat map representing the correlation coefficients between different variables, with a color gradient indicating the strength of correlations

Pearson correlation heat map

Comparative Metabolite Profiling of Salt Sensitive Oryza sativa and the Halophytic Wild Rice Oryza coarctata under Salt Stress

Journal: Plant-Environment Interactions

Published: 2024

Background

Salinity is a major abiotic stress that severely limits crop production, particularly for salt-sensitive crops like rice (Oryza sativa). With an increasing portion of the world's croplands affected by high salinity, understanding how certain plants, like the halophytic wild rice Oryza coarctata, tolerate salt stress is crucial for developing salt-tolerant crops. Oryza coarctata thrives in saline environments due to various physiological and metabolic mechanisms that are not present in cultivated rice. Comparative metabolomic profiling, particularly focused on root tissues, helps unravel the metabolic pathways and compounds contributing to salt tolerance in O. coarctata, providing valuable insights for improving the salt resilience of O. sativa and other commercial crops.

Materials & Methods

Results

Pathway Enrichment Analysis:

Pathway analysis revealed that five metabolic pathways related to amino acids, fatty acids, and carbohydrates were significantly activated across all comparison groups. O. coarctata exhibited enhanced secondary metabolite biosynthesis pathways, particularly in sphingolipid metabolism, driven by metabolites such as sphinganine and phytosphingosine.

(a) PCA score plot showing metabolite profiles of Oryza sativa and Oryza coarctata under control and salt stress. Red and green ellipsoids represent the 95% confidence intervals for non-stressed and stressed Oryza coarctata, respectively. (b) Hierarchical clustering heatmap for the top 500 metabolites of Oryza sativa and Oryza coarctata under different stress conditions. The heatmap shows metabolite concentrations, with red indicating higher concentrations and blue indicating lower concentrations.(a) PCA score plot showing metabolite profiles of Oryza sativa and Oryza coarctata under control and salt stress conditions.
(b) Hierarchical clustering heatmap of the top 500 metabolites for Oryza sativa and Oryza coarctata under different stress conditions.

Differential Accumulation of Metabolites:

O. coarctata had higher concentrations of specific amino acids (cysteine, valine, lysine, leucine, tyrosine) under control conditions and retained these levels under salt stress. In contrast, O. sativa showed an increased accumulation of specific phenylpropanoids only in response to salt stress.

Grouped bar plot displaying the enriched metabolite sets analysis across four comparison groups: Oryza coarctata control versus Oryza sativa control (Oc.C/Os.C), Oryza coarctata salt stress versus Oryza coarctata control (Oc.S/Oc.C), Oryza sativa salt stress versus Oryza sativa control (Os.S/Os.C), and Oryza coarctata salt stress versus Oryza sativa salt stress (Oc.S/Os.S).Grouped bar plot indicating enriched metabolite sets analysis in four comparison groups: Oc.C/Os.C, Oc.S/Oc.C, Os.S/Os.C, and Oc.S/Os.S.

Volcano plots representing significantly modulated metabolites in comparison groupsVolcano plots representing significantly modulated metabolites in comparison groups a) Oc.C/Os.C b) Oc.S/Oc.C c) Os.S/Os.C and d) Oc.S/Os.S [analysis cut-off: |fold change|>1.5 and p < 0.05] [red = upregulated; blue = downregulated; grey = nonsignificant].

Heatmap analysis depicting the logarithm of fold change values for lipids in four comparison groups: Oc.C/Os.C, Oc.S/Oc.C, Os.S/Os.C and Oc.S/Os.S.Heatmap analysis depicting the logarithm of fold change values for lipids in four comparison groups: Oc.C/Os.C, Oc.S/Oc.C, Os.S/Os.C and Oc.S/Os.S. Only lipids that showed differential expression (|Fold change|>1.5 and p <.05) in at least one of the four comparison groups were included. Heatmap cells with |Fold change|≤1.5 are shown in grey, indicating no significant change.

Unique Metabolic Profiles:

O. coarctata demonstrated a distinct metabolite profile, including significantly higher levels of vanillic acid (over 670-fold) and various xanthin compounds, indicating its robust defense mechanisms against oxidative stress. O. sativa had higher allantoin levels, suggesting a different approach to managing salt stress.

Impact of Salt Stress:

O. coarctata maintained a more stable metabolite profile under salt stress, indicating effective osmotic adjustment. Threonic acid levels were notably higher in O. coarctata, potentially aiding osmotic regulation.

Lignin and Phenylpropanoids:

The accumulation of phenylpropanoids in O. coarctata suggested enhanced lignification, which may contribute to its ability to withstand salt stress. Additionally, the species showed higher capacity for cutin, suberin, and wax biosynthesis.

Differential Metabolite Responses:

O. sativa exhibited more extensive metabolite changes under salt stress, particularly in nicotinate and nicotinamide metabolism, crucial for redox balance. Significant differences in lipid profiles between the two species further underscored their distinct strategies for coping with salinity.

Reference

  1. Tamanna, Nishat, et al. "Comparative metabolite profiling of salt sensitive Oryza sativa and the halophytic wild rice Oryza coarctata under salt stress." Plant‐Environment Interactions 5.3 (2024): e10155.

What steps are taken to ensure reproducibility of the analysis?

Reproducibility is central to our analytical processes. We include internal standards, run samples in duplicates, and perform routine instrument calibrations. Additionally, our lab adheres to strict standard operating procedures (SOPs) throughout the workflow, ensuring consistent and reliable data generation across all projects.

How do you handle complex plant samples with diverse metabolites?

For complex matrices like whole plant extracts, we use customized extraction protocols to isolate secondary metabolites effectively. Techniques such as solid-phase extraction (SPE) and liquid-liquid extraction (LLE) are employed to selectively enrich target compounds and remove unwanted contaminants, ensuring that even challenging samples yield reliable and clean data.

What is the typical project turnaround time?

Turnaround times depend on the complexity of the project. Standard secondary metabolite profiling typically takes 2-3 weeks. However, more intricate studies, such as targeted quantification or comparative metabolomics, may require additional time for detailed analysis and interpretation. We maintain clear communication with clients to set expectations and provide updates throughout the process.

What kind of post-analysis support do you offer for data interpretation?

We provide comprehensive support after the analysis, including detailed reports with quantitative and qualitative data, metabolite identification, and pathway insights. If needed, our experts are available for consultations to discuss results, assist with interpretation, and provide further recommendations for research or application of the findings.

Physiological, transcriptomic and metabolomic insights of three extremophyte woody species living in the multi-stress environment of the Atacama Desert.

Gajardo, Humberto A., et al.

Journal: Planta

Year: 2024

Combined omics approaches reveal distinct mechanisms of resistance and/or susceptibility in sugar beet double haploid genotypes at early stages of beet curly top virus infection.

Galewski, Paul J., et al.

Journal: International Journal of Molecular Sciences

Year: 2023

https://doi.org/10.3390/ijms241915013

Plant Growth Promotion, Phytohormone Production and Genomics of the Rhizosphere-Associated Microalga, Micractinium rhizosphaerae sp. nov.

Quintas-Nunes, Francisco, et al.

Journal: Plants

Year: 2023

https://doi.org/10.3390/plants12030651

Summative and ultimate analysis of live leaves from southern US forest plants for use in fire modeling.

Matt, Frederick J., Mark A. Dietenberger, and David R. Weise.

Journal: Energy & Fuels

Year: 2020

https://dx.doi.org/10.1021/acs.energyfuels.9b04495

Detailed analysis of agro-industrial byproducts/wastes to enable efficient sorting for various agro-industrial applications.

Priyanka, Govindegowda, et al.

Journal: Bioresources and Bioprocessing

Year: 2024

https://doi.org/10.1186/s40643-024-00763-7

Metabolomics Sample Submission Guidelines

Download our Metabolomics Sample Preparation Guide for essential instructions on proper sample collection, storage, and transport for optimal experimental results. The guide covers various sample types, including tissues, serum, urine, and cells, along with quantity requirements for untargeted and targeted metabolomics.

Metabolomics Sample Submission Guidelines
* For Research Use Only. Not for use in diagnostic procedures.
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